A little humility is in order when it comes to forecasting
hydrocarbon prices. Despite the
confident talking heads on television, newsletters and e-mails that promise to
forecast prices accurately, and prognostications from government agencies, no
one knows what oil and gas prices are going to do. And if anyone did know, he certainly would
not be talking.
As a result, prices are usually the least predictable
element in the economic forecast; and therefore, they usually have the greatest
impact on returns. What is an analyst to
do?
The academic literature gives some guidance on the
subject. First, it is important to note
that oil and natural gas prices behave differently. In fact, this should not be a surprise since,
even though they occur together in nature, oil and natural gas have very
different uses and are mostly not substitutes for one another. So we will tackle oil prices first.
Second, forecasting methods that had the most predictive
power in the 1980s and 1990s have not continued to be the best over the last ten
years. It appears that the factors that
drive the price of oil change over time.
So even if we apply the findings of academic studies from the last
decade, their conclusions may not be applicable over the next decade, which would
be the time frame when our wells would be producing.
Recent studies have found that at time frames of 1-3
months, adjusted futures prices have the most predictive power. But in new investments, this is almost always
the preparation period when agreements are made with governments and
landowners, engineering is done, and equipment is mobilized. So futures markets are of little use in preparing
price forecasts for project acquisitions, but they could be useful for analyses
of producing fields. And they should be
more useful for fields that decline rapidly, such as shale.
For time frames of 12 months and longer, today’s spot
price of oil has the greatest predictive power, although it is a fairly
weak predictor. If I had to guess the
price of oil a year from now, I would guess today’s spot price, although it
very likely could be something else.
How should we tackle a critical problem where the data we
can observe provide weak guidance? One
common, although particularly bad practice, is to take today’s spot price and
escalate it at some rate of inflation until it reaches a ceiling. There is no evidence that oil prices tend to
escalate in this manner. Rather it
represents the industry’s dream that oil will again reach its “natural level”
of $140 and stay there.
A good practice is to present a base case with a
constant-price forecast of today’s spot price.
(If a large portion of the production will come in the next 3-6 months, consider
using an adjusted futures forecast for those months.) I then present several alternative cases with
a range of prices. If a client is using
debt-financing for the investment, I would focus attention on the worst-case
scenarios to help them think about whether they can survive a sharp drop in oil
prices. And I compare the spot price to
the range of historical prices to help the client visualize how much potential upside
and downside there is. The best you can
do is to provide a number of price scenarios and think about the likely effects
of each one on the investment.
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